Struct tensorflow::ops::SparseApplyAdagradDA

pub struct SparseApplyAdagradDA { /* private fields */ }

Builder for the SparseApplyAdagradDA operation.

Implementations

impl SparseApplyAdagradDA

pub fn new() -> Self

Creates a new SparseApplyAdagradDA.

pub fn T<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T attribute.

pub fn Tindices<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Tindices attribute.

pub fn use_locking<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the use_locking attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>, O5: Into<Output>, O6: Into<Output>, O7: Into<Output>, O8: Into<Output>>(
    &self,
    var: O0,
    gradient_accumulator: O1,
    gradient_squared_accumulator: O2,
    grad: O3,
    indices: O4,
    lr: O5,
    l1: O6,
    l2: O7,
    global_step: O8,
    scope: &mut Scope
) -> Result<Operation>

Builds the SparseApplyAdagradDA operation.

pub fn build_instance(
    &self,
    var: Output,
    gradient_accumulator: Output,
    gradient_squared_accumulator: Output,
    grad: Output,
    indices: Output,
    lr: Output,
    l1: Output,
    l2: Output,
    global_step: Output,
    scope: &mut Scope
) -> Result<SparseApplyAdagradDAInst>

Builds a new instance of ‘SparseApplyAdagradDA’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for SparseApplyAdagradDA

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SparseApplyAdagradDA

fn default() -> SparseApplyAdagradDA

Returns the “default value” for a type.